@inproceedings{a7e5b96542c148acb760a301c66f3df4,
title = "Parallel Model Predictive Control of Switched Reluctance Machine Without Weighting Factors",
abstract = "In this paper, a new model predictive control strategy is proposed, featuring a Fourier model based on switched reluctance machine (SRM), cross-selection of the optimal switching signal to drive the machine by reconstructing the torque and current error formulas, considering torque ripple and copper loss requirements, multi-objective equivalent control and elimination of the weighting factor in the cost function. Simulations and experiments of steady-state performance and dynamic performance are also conducted to verify the feasibility of the proposed control strategy.",
keywords = "efficiency, model predictive control (MPC), parallel structure, Switched reluctance machine (SRM), torque ripple, weighting factor",
author = "Shoujun Song and Chenyi Yang and Minghui Wang and Lefei Ge and Zhaoyang Fu and Weiguo Liu",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 ; Conference date: 16-06-2023 Through 19-06-2023",
year = "2023",
doi = "10.1109/PRECEDE57319.2023.10174264",
language = "英语",
series = "2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023",
}